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English Listening And Speaking

English Listening And Speaking

Dao Cao Thi

Education免费v1.19
App Store
评分

4.7

311 条评分

星级

★★★★★

最近更新

2026年1月16日

发布日期

2018年1月15日

更新内容

v1.19

This release includes bug fixes and performance improvements.

应用信息

开发者
Dao Cao Thi
分类
Education
价格
免费
版本
1.19
App ID
1335531219

简介

+ English Language Learning App Our English learning app is for everyone including beginners and those with a basic English background who want to improve their level. Well-organized lessons will help you learn English simply and effectively. + English Speaking Practice You can practice speaking English like a native with intuitive and easy-to-understand features. With thousands of lessons from basic to intermediate and advanced, you can learn to speak and listen to English very easily. If you are looking for a simple method to improve your daily conversations in English, so this app is perfectly suitable for you. The app can evaluate your pronunciation to help you check yourself. Recording your voice is also an effective feature on helping you remember the lessons. This app contains following main contents and features: - English listening lessons: short stories, VOA Learning English, BBC Learning English, Spotlight English, famous people biography, 60-second listening lessons. - English Conversations: for real-life situations. - Multi-Speed conversation: slow and normal for beginners. - Most commonly used sentences and phrasal verbs in daily life. - Most commonly used vocabulary and IELTS vocabulary. - Completed list of irregular verbs. - English Grammar handbook. - English Dictionary with over 400+ words definitions. - Bookmark your favorite lessons. - Search for lessons you have learned in History feature. - Record and evaluate your pronunciation (need Internet connection). - Download audios to learn English offline. We wish you success and good results in learning English.

下载量预测

专业 · 预览

预估总下载量

23K16K44K
保守估计乐观估计

154

低 / 月

228

预估 / 月

440

高 / 月

基于311 条评分
假设评分率1.4%
应用年龄101 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。